create_rule

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does disclose meaningful behavioral detail, such as valid condition operators and the expected shape of conditions and actions. It does not mention side effects, immediate activation, duplicate-name behavior, persistence guarantees, or permissions, so the behavioral picture is incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description opens with a one-sentence purpose, then provides only high-value operational detail: argument meanings, one example per complex parameter, and the operator list. There is no filler or redundant restating of the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists and the parameter shapes are opaque in the schema, the examples and operator list are enough for an agent to construct a valid rule payload. The main remaining gap is behavioral context such as whether the rule becomes active immediately and what happens if a rule with the same name already exists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description fully compensates by explaining all four arguments: name, conditions, actions, and status. It provides concrete JSON examples for conditions and actions and enumerates the allowed condition operators, which are essential because the schema only declares opaque arrays of objects.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence 'Create an automation rule triggered by sensor conditions' names a specific verb and resource, and the 'triggered by sensor conditions' qualifier clearly distinguishes it from generic rule utilities. The Args section reinforces that this is a creation tool, not a read/delete/status tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool: whenever a new automation rule must be created. However, it does not explicitly contrast create_rule with sibling alternatives such as set_rule_status, list_rules, or create_schedule, nor does it explain when rule automation is preferable to schedule automation. The usage guidance is clear but left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.